Difference between revisions of "Dist net.m"
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layers=dist_net(np_in,np_out) | layers=dist_net(np_in,np_out) | ||
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np_in - dimension of the input vector | np_in - dimension of the input vector | ||
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==See also== | ==See also== | ||
| − | [[ | + | [[deernet.m]], [[dist_vet.m]], [[logsLayer.m]], [[renormLayer.m]], [[Neural network module]] |
''Version 2.8, authors: [[Ilya Kuprov]], [[Jake Keeley]], [[Tajwar Choudhury]]'' | ''Version 2.8, authors: [[Ilya Kuprov]], [[Jake Keeley]], [[Tajwar Choudhury]]'' | ||
Latest revision as of 19:36, 6 June 2026
Returns an untrained distance distribution DEERNet for processing fully sampled data.
Syntax
layers=dist_net(np_in,np_out)
Parameters
np_in - dimension of the input vector
np_out - dimension of the output vector
Outputs
layers - an untrained network layout
See also
deernet.m, dist_vet.m, logsLayer.m, renormLayer.m, Neural network module
Version 2.8, authors: Ilya Kuprov, Jake Keeley, Tajwar Choudhury
